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ارزیابی عملکرد، اجزای عملکرد و سازگاری ژنوتیپ‌های امیدبخش پنبه در کشت دوم | ||
| پژوهش های کاربردی زراعی | ||
| دوره 34، شماره 1 - شماره پیاپی 130، خرداد 1400، صفحه 108-126 اصل مقاله (598.16 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/aj.2021.342786.1473 | ||
| نویسندگان | ||
| عمران عالیشاه* 1؛ علی نادری عارفی2 | ||
| 1موسسه تحقیقات پنبه کشور | ||
| 2محقق/مرکز تحقیقات کشاورزی و منابع طبیعی استان سمنان، شاهرودسازمان تحقیقات، آموزش و ترویج کشاورزی، کرج، ایران | ||
| چکیده | ||
| به منظور ارزیابی ویژگی‌های زراعی و سازگاری ژنوتیپ‌های امیدبخش و جدید پنبه (GKTB-113، SKT133، SKSH249، BC244، Khorshid ,SKN2739,NSK847 و Kashmar) همراه با دو رقم تجاری، آزمایشی در قالب طرح بلوکهای کامل تصادفی با سه تکرار و در طی سه سال انجام شد. کشت آزمایشات در 4 تا 10 خرداد صورت پذیرفت و صفات عملکرد، زودرسی، تعداد غوزه، وزن غوزه، تعداد و طول شاخه‌های زایا و رویا، تعداد گره، ارتفاع بوته و نسبت ارتفاع به گره (HNR) در سطح اندازه‌گیری شد. بر اساس نتایج تجزیه واریانس، اثر سال بر تمام صفات (به جز طول زایا و تعداد غوزه) و اثر متقابل سال × واریته بر تمام صفات (به جز ارتفاع و نسبت ارتفاع به گره) و اثر واریته بر تمام صفات مورفولوژیک، عملکرد و اجزای عملکرد (به جز HNR) معنی‌دار بود که دلالت بر تنوع قابل ملاحظه صفات در ارقام مورد مطالعه داشت. رقم BC244 از لحاظ تعداد شاخه رویا، ارتفاع و تعداد گره، رقم‌های SKT133 و ورامین از لحاظ تعداد شاخه زایا و پوشش گیاهی و رقم GKTB113 از لحاظ عملکرد و اجزای عملکرد در گروه نخست قرار گرفتند. تعداد غوزه، طول شاخه‌های رویا و زایا و HNR دارای همبستگی مثبت و معنی‌دار با عملکرد وش بودند در خوشه‌بندی بر اساس روش وارد و با داده‌های استاندارد شده، ژنوتیپ‌ها در سه گروه قرار گرفتند. واریته‌های خورشید و کاشمر از لحاظ زودرسی نسبت به سایر واریتهها برتری داشتند. ژنوتیپ امیدبخش GKTB113 ضمن برتری عملکرد و اجزای عملکرد، سازگاری بیشتری به کشت‌های تاخیری داشت و به‌عنوان گزینه جدید جهت معرفی شناسایی گردید. | ||
| کلیدواژه‌ها | ||
| پنبه؛ رشد رویشی؛ رشد زایشی؛ مورفولوژی؛ همبستگی | ||
| عنوان مقاله [English] | ||
| Evaluation of Yield, Yield Components and Adaptability of promising cotton genotypes in secondary planting | ||
| نویسندگان [English] | ||
| omran alishah1؛ Ali Naderi Arefi2 | ||
| 1associate professor | ||
| 2Investigator/agricultural and natural resurce center of shahrood, Education and Extension Organization (AREEO), Karaj, Iran. | ||
| چکیده [English] | ||
| Introduction Cotton (G.hirsutum L.) is an important cash crop in Iran, which plays a vital role in the economy of the country. The yield of cotton cultivars depends on their genotypic performance and adaptability. The most significant objectives of cotton variety improvement for dry agro systems include high yield, fair stability, better fiber quality and also special importance are given on suitability of different maturity groups for early, mid and late planting dates. A variety or genotype is considered to be the most adaptive or stable one if it has a high mean yield but a low degree of fluctuation over diverse environments (Said, 2016; Mudata et al., 2017). The association among yield related traits play a significant role toward improvement and to produce promising genotypes with high yield and quality (Nawaz et al, 2019). Low economic outcome of cotton due to low yields is one of the reasons for diminishing cotton production areas. To increase cotton economic profitability, it is necessary to first determine what critical farm management factors pose limitation to cotton production and then devise suitable plans to address these limitations. Variety selection is an example of these limitations. Cotton planting in Garmsar region begins from mid-April and continues to mid-June which lasts a span of 60 days. Evidently, the responses of cultivars to climatic conditions at each planting date are different. In spite of accomplished efforts, the majority of corn cultivation areas are still limited to Varamin and Khordad cultivars. The present research was carried out to select the best adaptable cotton variety among ten promising new genotypes for yield improvement in second planting in the dry and warm region of Garmsar. Materials and Methods: This experiment was conducted in a RCBD experimental design with three replications under Garmsar climatic condition for three years (2014, 2015 and 2016). In this study, 10 cotton genotypes including advanced hybrids and new commercial varieties were planted in May11th, 4th and 10th in the years 2014, 2015 and 2016 respectively. The studied genotypes were: GKTB-113, Kashmar, Khorshid, SKT133, SKSH249, BC244, SKN2739, NSK847, Sahel and Varamin. Results: The combined analysis of three years of the study showed that the genotype BC244 produced the highest number of monopodial branches. Also, the number of nodes and plant height of this genotype was higher than the others. Genotype SKT133 was superior to others in number of sympodial branches and was placed in same statistical group as Varamin in terms of vegetative traits. Seed yield, mean of boll weight and boll number in the genotype GKTB113 were the highest among the all genotypes. Plant height and height to node ratio of this genotype was similar to Varamin and Sahel, which placed it in the same statistical group. The genotypes were classified into three groups based on Ward's method of clustering for all the investigated traits. Because of climatic and management conditions, early maturing is not the priority for some farmers in the region. Therefore, the genotype GKTB113 with producing the highest yield was found to be superior and adaptable to Garmsar conditions. Conclusion: Results displayed considerable differences among hopeful cotton genotypes for the studied characters. Boll number plant-1 and boll weight were found as major yield components to have positive correlation with seed cotton yield. However, plant height was noticed negatively correlated with yield. Due to the higher yield and good vegetative characteristics of GKTB113, its introduction as a new variety will expand cotton farmer’s variety choice options. For late cropping, genotypes GKTB113, Khorshid and Kashmar are recommendable (respectively) because of their proportional earliness, seed cotton yield and yield stability. Keywords: Correlation, Cotton, Morphology, Reproductive Growth, Vegetative Growth. References Nawaz, B., Naeem, M., Malik, T.A., Muhae-Ud-Din, G., Ahmad, Q., and Sattar, S. 2019. Estimation of gene action, heritability and pattern of association among different yield related traits in upland cotton. International Journal of Innovative Approaches in Agricultural Research, 3(1): 25–52. Mudada, N., Chitamba, J., Macheke, T.O. and Manjeru, P. 2017. Genotype × Environmental interaction on seed cotton yield and yield components. Open Access Library Journal, 04: 1–22. Said, S.R.N. 2016. Stability of yield and yield components for some Egyptian cotton genotypes. Egyptian Journal Plant Breeding, 20: 541–552. | ||
| کلیدواژه‌ها [English] | ||
| Correlation, Cotton, Morphology, Reproductive Growth, Vegetative Growth | ||
| مراجع | ||
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Ahmad, S., Fiaz, S., Riaz, A., Bashir, I., and Zeb, A. 2016. Correlation analysis of morphological and fiber quality traits in upland cotton (Gossypium hirsutum L.). International Journal of Biosciences (IJB) 9(4): 200–208. Ahuja, S.L., and Dhayal, L.S. 2007. Comparative characteristics and gene action in three petal-spotted mutants of Gossypium hirsutum. Journal of Genetics, 86(1):81-84. Alishah, O. 1999. Study on morphology and genetica; variability among upland cotton in Iran. Journal of plant and seed. 17(1): 44-60 (In Persian with English Summary). Alishah, O., MahmoodJanloo, H., Hekmat, M. H., Naderi, A. A., Masoumi, Y., and Talaat, F. 2019. Genotype × environment interaction and yield stability of hopeful cotton (G.hirsutum L.) genotypes. Journal of Crop Breeding, 11(31), 226-236 (In Persian with English Summary). Alishah, O., Bagherieh-Najjar, M.B., and Fahmideh, L. 2008. Correlation path coefficient and factor analysia of some quantitative and qualitative traits in cotton (Gossypium hirsutum L.). Asian Journal of Biological Science: 1–8. Anonymous, 2018. Agriculture Statistics of Iran. Jihad-e-Agriculture publication. Unpublished data. Bocanski, J., Sreckov, Z., and Nastasic, A. 2009. Genetic and phenotypic relationship between grain yield and components of grain yield of maize (Zea mays L.). Genetika, 41(2), 145-154. Bowman, R. 2013. Monitoring pre-bloom cotton fruiting in Oklahoma. Available at http://cotton .okstate.edu/ plant-growth-and-development/montring-cttn-prebl-fruiting-ok.pdf. Chang, M.A., Anjum, R., and Soonro, A.R. 2001. Measuring earliness in cotton through bartlett’s earliness index. Online Journal of Biological Sciences. 1(4): 263-264. Damavandi, K.S., Alishah, O., and Babaeian, N.J. 2009. Genotype × environment interaction and yield stability assessment by non-parametric and parametric univariate procedures. Agriculture and Natural Resources Science and Technology. 13 (5): 41-48. (In Persian with English Summary). Djaboutou, M. C., Houedjissin, S. S., Djihinto, A. C., and Sinha, M. G. 2017. Biosciences and plant biology. International journal of current research in biosciences and plant biology, 4(2), 26-33. Dong, C., Wang, J., Zhou, X., Ma, X., Li, S., Yu, Y., and Li, B. 2016. Clustering and principal components analysis of Xinjiang upland cotton variety resources (Gossypium hirsutum L.). Southwest China Journal of Agricultural Sciences, 29(8), 1798-1805. Elsayed, E. R., Tolba, A. M., El-Marakby, A. M., and Sanad, S. H. 2016. Performance and stability analysis of some Egyptian cotton genotypes for yield, fiber and yarn traits under different environments. Egyptian Journal of Plant Breeding, 20(5):723 – 748. Fahad, E., Ali, A., Nadeem, M. A., Tahir, M., and Majeed, A. 2008. Comparative yield performance of new cultivars of cotton (Gossypium Hirsutum L.). Pakistan journal of life and society science, 6(1): 1-3. Farias, F. J. C., Carvalho, L. P., Silva Filho, J. L., and E.Teodoro, P. 2016. Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso. Genetic and Molecular Research, 15. Farshadfar, E. 1998. Application of quantitative genetics in plant breeding. Razi-Kermanshah University Press. (In Persian). Francis, T. R., and Kannenberg, L. W. 1978. Yield stability studies in short-season Maize:1. A descriptive method for grouping genotypes. Canadian Journal of Plant Science, 58: 1029-1034. Greveniotis, V., and Sioki, E. 2017. Genotype by environment interactions on cotton fiber traits and their implications on variety recommendation. Journal of Agricultural Studies, 5(2), 86-106. Groves, F E., Freddie, M., Bourland, M., and Jones, D. C. 2016. Relationships of yield component variables to yield and fiber quality parameters. The Journal of Cotton Science 20:320–329 Gul, S., Khan, N. U., Gul, R., Baloch, M., Latif, A., and Khan, I. A. 2016. Genotype by environment and phenotypic adaptability studies for yield and fiber variables in upland cotton. Journal of Animal and Plant Sciences, 26(3), 776-786. Hequan, Lu, Dai, J., Li, W., Tang, W., Zhang, D., Eneji, E., and Dong, H. A. 2017. Yield and economic benefits of late planted short-season cotton versus full-season cotton relayed with garlic. Field Crops Research, 200, 80–87 Holifield, C. D., Silvertooth, J.C., and Moser, H. 2000. Comparison of obsolete and modern cotton cultivars for irrigated production in arizona. Cotton: A College of Agriculture Report. Jamwal, N. S., Singla, J., Gumber, R.K., Pathak, D., Singh, P.R.A.D., and Kumar, N. 2016. Research note study of genotype x environment interactions and stability among diverse Gossypium arboreum L. genotypes for yield and related traits under North Western Plains. Electronic Journal of Plant Breeding, 7(3), 684-691. Kaleri, S.H., Kaleri, A.A., Baloch, A.W., Mari, S.N., Kaleri, S.H., Gandahi, N., Jatoi, W. A., Abro, T. F., and Khan, M. 2017. Genetic studies in upland cotton (Gossypium hirsutum L.) for earliness and yield contributing traits. Pure Appllied Biology, 6(1): 153-158 Kerby, T.A., Plant, R.E., Johnson, H.S., and Horrocks, R.D. 1998. Environmental and cultivar effects on height-to-node ratio and growth rate in Acala cotton. Journal of Production Agriculture, 11:420-427. Kerby, T. A., Plant, R.E., and Horrocks, R. D. 2013. Height-to-node ratio as an index of early season cotton growth. Journal of Production Agriculture,10 (1), 80-83. Kilby, C. 2006. Evaluation of yield component changes in Australian cotton cultivars. Undergraduate Research Project Faculty of Agriculture, Food & Natural Resources. The University of Sydney. Lin, C. S., Binns, M. R., and Lefkovitch, L. P. 1986. Stability analysis. Crop Science, 26: 894-899. Maleia, M.P., Raimundo, A., Moiana, L.D., Teca, J.O., Chale, F., Jamal, E., Dentor, J.N., and Adamugy, B.A. 2017. Stability and adaptability of cotton (Gossypium hirsutum L.) genotypes based on AMMI analysis. Australian Journal of Crop Science, 11: 367–372. Mudada, N., Chitamba, J., Macheke, T.O., and Manjeru, P. 2017. Genotype × environmental interaction on seed cotton yield and yield components. Open Access Library Journal, 04: 1–22. Naderi, A. A., and Hamidi, A. 2015. Seed cotton yield and some related traits in different cultivars of cotton (gossypium hirsutum l.) in garmsar conditions, Seed and Plant Production Journal, 30(4), 401-420. (In Persian with English Summary). Nawaz, B., Naeem, M., Malik, T.A., Muhae-Ud-Din, G., Ahmad, Q., and Sattar, S. 2019. Estimation of gene action, heritability and pattern of association among different yield related traits in upland cotton. International Journal of Innovative Approaches in Agricultural Research, 3(1): 25–52. Oosterhus, D. M., and Cothren, T. 2012 Flowering and fruiting in cotton. Reference book series, The Cotton Foundation Cordova, Tennessee, U.S.A. Richmond, T.R., and Radwan Sami, R.H., 1962. A comparative study of seven methods of measuring earliness of crop maturity in cotton. Crop Science, 2: 394-400. Roach, S. H., and and Culp, T. W. 1984. An evaluation of tree early maturing cotton cultivars for production potential and insect damage in reduced and conventional tillage systems. Journal of Agricultural Entomology, 1(3): 249-255. Said, S.R.N. 2016. Stability of yield and yield components for some Egyptian cotton genotypes. Egyptian Journal Plant Breeding, 20: 541–552. Salloum, T. 2001. The effect of agricultural operations on the percentage of cotton fiber relative to seedcotton. In Cotton from Agriculture to Consumer. Supreme Council of Science, Aleppo, 2001. SAS Institute Inc. 2004. SAS®.STAT User's Guide, Version 8 ed. SAS Institute Inc. Sial, M.A., Jamali, K.D., Arain, M.A., and Ahmed, M. 1999. Adaptability of semi-dwarf spring wheat in sindh province. Pakistan Journal of Science Industries Research, 42: 342–4 Singh, P. 2003. Cotton breeding, Kalyani publishers, New Delhi Pp:125-135. Shao, D., Wang, T., Zhang, H., Zhu, J., and Tang, F. 2016. Variation, heritability, and association of yield, fiber and morphological traits in a near long staple upland cotton population. Pakistan Journal of Botany, 48(5), 1945-1949. Stewart, J.M., Oosterhuis, D. M., and Heitholt, J.J. 2010. Physiology of cotton. Springer Dordrecht Heidelberg London New York. Springer Science, Business Media B.V. available at www.springer.com Taha, M.A., Malik, M.N., Chaudhry, A., and Makhdum, I. 1981. Heat induced sterility in cotton sown during early April in West Punjab. Experimental Agriculture, 17:189-194. Vafaietabar, M., and Tajik Khaveh, Z. 2014. Statical analysis of correlation between yield and earliness, and other trait of upland cotton varieties (Gossypium hirsutum), Iranian Journal of Cotton Researches, 2(1), 19-34. (In Persian with English Summary). Wells, R., and Meredith, W. R. 1984. Comparative growth of obsolete and modern cotton cultivars. III. Relationship of yield to observed growth characteristics. Crop Science, 24(5), 868-872. Xie, M. 1996. Selection of stable cultivars using phenotypic variances. Crop Science, 36: 572- 576. | ||
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